There is an updated version of the EPV-calculator found here: https://infovoice.se/epv-calculator/

Suggested pre-reading |
What this web page adds |
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This web-page provides an introduction to standard linear regression. Reading this will give you an understanding of these concepts and how to use them. |

The dependent variable in a standard linear regression is always a variable measured with an interval or ratio scale.

# Simple standard linear regression

Simple standard linear regression also has other labels with exactly the same meaning:

- Bivariate standard linear regression (using two variables, one dependent and one independent)
- Univariate standard linear regression (using only one independent variable)
- Unadjusted standard linear regression (not adjusting for other independent variables)

A standard linear regression with one dependent variable (Y) and one independent variable (x) can mathematically be described in several ways (all with exactly the same meaning):

Y = a + bx

can also be written as

Y = b_{0} + b_{1}x

can also be written as

Y = b + mx

Look at this video by Steve Grambow introducing the idea behind simple standard linear regression:

# Multiple standard linear regression

A standard linear regression with one dependent variable (Y) and several independent variables (several x) can be written as:

Y = a + b_{1}x_{1} + b_{2}x_{2} + b_{3}x_{3} + … …b_{n}x_{n}

(This section is still under construction. Sorry for the inconvenience.)

# References

(This section is still under construction. Sorry for the inconvenience.)

There is an updated version of the EPV-calculator found here: https://infovoice.se/epv-calculator/